You.
sonia works at a bakery. the function f(x) represents the amount of money sonia earns per loaf, where x is the number of loaves she makes. the function g(x) represents the number of bread loaves sonia bakes per hour, where x is the number of hours she works. show all work to find f(g( and explain what f(g(x)) represents.
f(x) = 9x^2 + 1
g(x) = √2x^3

See explanation

Step-by-step explanation:

y=g(x) represents the number of bread loaves Sonia bakes per hour, where x is the number of hours she works;

z=f(y) represents the amount of money Sonia earns per loaf, where y is the number of loaves she makes,

so

z=f(g(x)) represents the amount of money Sonia earns per loaf, where x is the number of hours she works.

Now

so

Step-by-step explanation:

Since we have given that

We need to find the f(g(x)).

Here, f(x) denotes the amount of money that she earns per loaf and x is the number of loaves she makes,

and,

g(x) denotes the number of bread loaves she bakes per hour and x is the number of hours she works.

So, our composition would be

Hence,

see below

step-by-step explanation:

7.   there are 10 data points in the set.   the middle point is between 5 and 6.   the middle point in the top half is 8   and the middle point in the bottom half is 3. to find the iqr , take point 8 and subtract point 3

mid term   point 8 = 100   point 3 = 88

iqr = 100-88 = 12

final   point 8 = 93   point 3 = 78

iqr = 93 - 78 = 15

the final has the greatest iqr

6.   b - there is a high data value that causes the data set to be asymmetrical for the males: the data for males are high and asymmetrical .   there is an outlier for the males that skews the data

5.   the   iqr is a better measure of spread for the movies and basketball games.   since the basketball game has an outlier, we do not want to use standard deviation for measurement.  

3.   the exam median is much higher than the class median.   the median line is farther to the right on the exams

2.   there is no way to tell what the means are from the box and whisker plots.  

step-by-step explanation: